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Momentum deficit and wake-added turbulence kinetic energy budgets in the stratified atmospheric boundary layer
Phys. Rev. Fluids 9, 114607 – Published 20 November, 2024
DOI: https://doi.org/10.1103/PhysRevFluids.9.114607
Abstract
To achieve decarbonization targets, wind turbines are growing in hub height and rotor diameter, and they are being deployed in new locations with diverse atmospheric conditions not previously seen, such as offshore. Physics-based analytical wake models commonly used for design and control of wind farms simplify atmospheric boundary layer (ABL) and wake physics to achieve computational efficiency. This is accomplished primarily through a simplified model form that neglects certain flow processes, such as atmospheric stability, and through the parametrization of ABL and wake turbulence through a wake spreading rate. In this study, we systematically analyze the physical mechanisms that govern momentum and turbulence within a wind turbine wake in the stratified ABL. We use large-eddy simulation and analysis of the streamwise momentum deficit and wake-added turbulence kinetic energy (TKE) budgets to study wind turbine wakes under neutral and stable conditions. To parse the turbulence in the wake from the turbulent, incident ABL flow, we decompose the flow into the base ABL flow and the deficit flow produced by the presence of a turbine. We then analyze the decomposed flow field budgets to study the effects of changing stability on the streamwise momentum deficit and wake-added TKE. The results demonstrate that stability changes the relative balance of turbulence and advection for both the streamwise momentum deficit and wake-added TKE primarily through the nonlinear interactions of the base flow with the deficit flow. The stable cases are most affected by increased shear and veer in the base flow and the neutral case is most affected by the increased ambient turbulence intensity. These differences in the base flow that arise from stratification are relatively more important than the buoyancy forcing terms in the wake-added TKE budget. The wake-added TKE depends on the ABL stability. An existing wake-added TKE model that neglects the effects of ABL stability yields error compared to large-eddy simulation, with errors that are higher in stable conditions than neutral. These results motivate future research to develop fast-running models of wake-added TKE that account for stability effects.
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References (52)
- F. T. M. Nieuwstadt, The turbulent structure of the stable, nocturnal boundary layer, J. Atmos. Sci. 41, 2202 (1984).
- R. B. Stull, An Introduction to Boundary Layer Meteorology (Springer Science & Business Media, Cham, 2012).
- C.-H. Moeng and P. P. Sullivan, A comparison of shear- and buoyancy-driven planetary boundary layer flows, J. Atmos. Sci. 51, 999 (1994).
- G. Cortina, M. Calaf, and R. B. Cal, Distribution of mean kinetic energy around an isolated wind turbine and a characteristic wind turbine of a very large wind farm, Phys. Rev. Fluids 1, 074402 (2016).
- S. Wu, C. L. Archer, and J. D. Mirocha, New insights on wind turbine wakes from large-eddy simulation: Wake contraction, dual nature, and temperature effects, Wind Energy 27, 1130 (2024).
- M. Abkar and F. Porté-Agel, Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids 27, 035104 (2015).
- S. Xie and C. L. Archer, A numerical study of wind-turbine wakes for three atmospheric stability conditions, Boundary-Layer Meteorol. 165, 87 (2017).
- T. Ishihara and G.-W. Qian, A new Gaussian-based analytical wake model for wind turbines considering ambient turbulence intensities and thrust coefficient effects, J. Wind Eng. Ind. Aerodynamics 177, 275 (2018).
- N. Ali, N. Hamilton, M. Calaf, and R. B. Cal, Turbulence kinetic energy budget and conditional sampling of momentum, scalar, and intermittency fluxes in thermally stratified wind farms, J. Turbul. 20, 32 (2019).
- R. M. Banta, Stable-boundary-layer regimes from the perspective of the low-level jet, Acta Geophysica 56, 58 (2008).
- A. Doosttalab, D. Siguenza-Alvarado, V. Pulletikurthi, Y. Jin, H. Bocanegra Evans, L. P. Chamorro, and L. Castillo, Interaction of low-level jets with wind turbines: On the basic mechanisms for enhanced performance, J. Renew. Sustain. Energy 12, 053301 (2020).
- M. Bastankhah and F. Porté-Agel, A new analytical model for wind-turbine wakes, Renew. Energy 70, 116 (2014).
- A. Niayifar and F. Porté-Agel, Analytical modeling of wind farms: A new approach for power prediction, Energies 9, 741 (2016).
- W. J. M. Rankine, On the mechanical principles of the action of propellers, Trans. Inst. Naval Arch. 6, 13 (1865).
- W. Froude, On the elementary relation between pitch, slip, and propulsive efficiency, Trans. R. Inst. Naval Arch. 19, 47 (1878).
- R. E. Froude, On the part played in propulsion by difference of fluid pressure, Trans. R. Inst. Naval Arch. 30, 390 (1889).
- R. J. Stevens and C. Meneveau, Flow structure and turbulence in wind farms, Annu. Rev. Fluid Mech. 49, 311 (2017).
- M. Abkar and F. Porté-Agel, Influence of the Coriolis force on the structure and evolution of wind turbine wakes, Phys. Rev. Fluids 1, 063701 (2016).
- R. He, H. Yang, H. Sun, and X. Gao, A novel three-dimensional wake model based on anisotropic Gaussian distribution for wind turbine wakes, Appl. Energy 296, 117059 (2021).
- A. Crespo and J. Hernández, Turbulence characteristics in wind-turbine wakes, J. Wind Eng. Ind. Aerodyn. 61, 71 (1996).
- D. Bensason, E. Simley, O. Roberts, P. Fleming, M. Debnath, J. King, C. Bay, and R. Mudafort, Evaluation of the potential for wake steering for U.S. land-based wind power plants, J. Renew. Sustain. Energy 13, 033303 (2021).
- D. van der Hoek, B. Doekemeijer, L. E. Andersson, and J.-W. van Wingerden, Predicting the benefit of wake steering on the annual energy production of a wind farm using large-eddy simulations and Gaussian process regression, J. Phys.: Conf. Ser. 1618, 022024 (2020).
- K. S. Klemmer, E. P. Condon, and M. F. Howland, Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms, J. Renew. Sustain. Energy 16, 013302 (2024).
- L. A. Martínez-Tossas, J. Annoni, P. A. Fleming, and M. J. Churchfield, The aerodynamics of the curled wake: A simplified model in view of flow control, Wind Energy Sci. 4, 127 (2019).
- A. S. Ghate and S. K. Lele, Subfilter-scale enrichment of planetary boundary layer large-eddy simulation using discrete Fourier–Gabor modes, J. Fluid Mech. 819, 494 (2017).
- M. F. Howland, A. S. Ghate, and S. K. Lele, Influence of the geostrophic wind direction on the atmospheric boundary layer flow, J. Fluid Mech. 883, A39 (2020).
- S. Nagarajan, S. K. Lele, and J. H. Ferziger, A robust high-order compact method for large-eddy simulation, J. Comput. Phys. 191, 392 (2003).
- S. Gottlieb, C.-W. Shu, and E. Tadmor, Strong stability-preserving high-order time discretization methods, SIAM Rev. 43, 89 (2001).
- F. Nicoud, H. B. Toda, O. Cabrit, S. Bose, and J. Lee, Using singular values to build a subgrid-scale model for large-eddy simulations, Phys. Fluids 23, 085106 (2011).
- J. Nordström, N. Nordin, and D. Henningson, The fringe region technique and the Fourier method used in the direct numerical simulation of spatially evolving viscous flows, SIAM J. Sci. Comput. 20, 1365 (1999).
- R. J. A. M. Stevens, J. Graham, and C. Meneveau, A concurrent precursor inflow method for large-eddy Simulations and applications to finite length wind farms, Renew. Energy 68, 46 (2014).
- M. Bastankhah and F. Porté-Agel, Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech. 806, 506 (2016).
- H. Zong and F. Porté-Agel, A momentum-conserving wake superposition method for wind farm power prediction, J. Fluid Mech. 889, A8 (2020).
- M. Calaf, C. Meneveau, and J. Meyers, Large-eddy simulation study of fully developed wind-turbine array boundary layers, Phys. Fluids 22, 015110 (2010).
- S. Aubrun, S. Loyer, P. E. Hancock, and P. Hayden, Wind turbine wake properties: Comparison between a non-rotating simplified wind turbine model and a rotating model, J. Wind Eng. Ind. Aerodyn. 120, 1 (2013).
- A. Englberger, A. Dörnbrack, and J. K. Lundquist, Does the rotational direction of a wind turbine impact the wake in a stably stratified atmospheric boundary layer? Wind Energy Sci. 5, 1359 (2020).
- S. Basu, A. A. M. Holtslag, B. J. H. Van De Wiel, A. F. Moene, and G.-J. Steeneveld, An inconvenient “truth” about using sensible heat flux as a surface boundary condition in models under stably stratified regimes, Acta Geophys. 56, 88 (2008).
- A. Sescu and C. Meneveau, A control algorithm for statistically stationary large-eddy simulations of thermally stratified boundary layers, Q. J. R. Meteorol. Soc. 140, 2017 (2014).
- L. A. Martínez-Tossas, J. King, E. Quon, C. J. Bay, R. Mudafort, N. Hamilton, M. F. Howland, and P. A. Fleming, The curled wake model: A three-dimensional and extremely fast steady-state wake solver for wind plant flows, Wind Energy Sci. 6, 555 (2021).
- J. N. Sørensen, General Momentum Theory for Horizontal Axis Wind Turbines, Research Topics in Wind Energy, Vol. 4 (Springer International Publishing, Cham, 2016).
- G. Cortina, V. Sharma, and M. Calaf, Wind farm density and harvested power in very large wind farms: A low-order model, Phys. Rev. Fluids 2, 074601 (2017).
- G. Cortina, V. Sharma, R. Torres, and M. Calaf, Mean kinetic energy distribution in finite-size wind farms: A function of turbines' arrangement, Renew. Energy 148, 585 (2020).
- M. P. van der Laan, M. Baungaard, and M. Kelly, Brief communication: A clarification of wake recovery mechanisms, Wind Energy Sci. 8, 247 (2023).
- C. R. Shapiro, D. F. Gayme, and C. Meneveau, Modelling yawed wind turbine wakes: A lifting line approach, J. Fluid Mech. 841, R1 (2018).
- L. P. Chamorro and F. Porté-Agel, A wind-tunnel investigation of wind-turbine wakes: Boundary-layer turbulence effects, Boundary-Layer Meteorol. 132, 129 (2009).
- Y.-T. Wu and F. Porté-Agel, Atmospheric turbulence effects on wind-turbine wakes: An LES study, Energies 5, 5340 (2012).
- Y.-T. Wu, C.-Y. Lin, and T.-J. Chang, Effects of inflow turbulence intensity and turbine arrangements on the power generation efficiency of large wind farms, Wind Energy 23, 1640 (2020).
- P. Mycek, B. Gaurier, G. Germain, G. Pinon, and E. Rivoalen, Experimental study of the turbulence intensity effects on marine current turbines behaviour. Part I: One single turbine, Renew. Energy 66, 729 (2014).
- S. N. Gadde and R. J. A. M. Stevens, Interaction between low-level jets and wind farms in a stable atmospheric boundary layer, Phys. Rev. Fluids 6, 014603 (2021).
- G. Narasimhan, D. F. Gayme, and C. Meneveau, Analytical wake modeling in atmospheric boundary layers: Accounting for wind veer and thermal stratification, J. Phys.: Conf. Ser. 2767, 092018 (2024).
- R. Scott, L. Martínez-Tossas, J. Bossuyt, N. Hamilton, and R. B. Cal, Evolution of eddy viscosity in the wake of a wind turbine, Wind Energy Sci. 8, 449 (2023).
- N. Zehtabiyan-Rezaie and M. Abkar, A short note on turbulence characteristics in wind-turbine wakes, J. Wind Eng. Ind. Aerodyn. 240, 105504 (2023).